DRquality: Quality Measurements for Dimensionality Reduction

Several quality measurements for investigating the performance of dimensionality reduction methods are provided here. In addition a new quality measurement called Gabriel classification error is made accessible, which was published in Thrun, M. C., Märte, J., & Stier, Q: "Analyzing Quality Measurements for Dimensionality Reduction" (2023), Machine Learning and Knowledge Extraction (MAKE), <doi:10.3390/make5030056>.

Version: 0.2.1
Imports: DatabionicSwarm
Suggests: plotly, geometry, deldir, FCPS, ProjectionBasedClustering (≥ 1.2.1), DataVisualizations, FastKNN, ggplot2, pcaPP, pracma, spdep, grid, igraph, cccd, sf
Published: 2023-10-12
Author: Quirin Stier [aut], Florian Lerch [ctb], Julian Märte [aut], Hermann Tafo [ctb], Laukert Schlichting [ctb], Michael Thrun ORCID iD [aut, cph, cre]
Maintainer: Michael Thrun <m.thrun at gmx.net>
License: GPL-3
NeedsCompilation: no
CRAN checks: DRquality results

Documentation:

Reference manual: DRquality.pdf

Downloads:

Package source: DRquality_0.2.1.tar.gz
Windows binaries: r-prerel: DRquality_0.2.1.zip, r-release: DRquality_0.2.1.zip, r-oldrel: DRquality_0.2.1.zip
macOS binaries: r-prerel (arm64): DRquality_0.2.1.tgz, r-release (arm64): DRquality_0.2.1.tgz, r-oldrel (arm64): DRquality_0.2.1.tgz, r-prerel (x86_64): DRquality_0.2.1.tgz, r-release (x86_64): DRquality_0.2.1.tgz
Old sources: DRquality archive

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